Part 1: Rmarkdown
Research
I hope to develop a lake classification framework for mountain lakes in California to facilitate better conservation management and pinpoint which lakes may be better for reintroduction efforts of native and endemic fish, amphibians, and other aquatic fauna. The high degree of diversity in lake type within just the small Sierra Nevada lakes that my preliminary data show suggests that concentrating on the overall function and service of smaller lakes and their different types on at this landscape scale may be essential to managing these ecosystems within a broader context. A lake classification scheme has the potential to pre-identify lakes meeting certain criteria that would be able to predict likelihood of favorable or unfavorable outcomes for conservation management attemtns of our state fish, the California Golden Trout (Oncorhynchus aguabonita) and endangered endmic amphibians to the region such as the Sierra Nevada Yellow-legged frog (Rana sierrae).
Part 2
Use the storms data (included in RStudio) to create a plotly graph of the relationship between wind and pressure, where the status of the storm is indicated by a color.
## Observations: 10,010
## Variables: 13
## $ name <chr> "Amy", "Amy", "Amy", "Amy", "Amy", "Amy", "Amy", "...
## $ year <dbl> 1975, 1975, 1975, 1975, 1975, 1975, 1975, 1975, 19...
## $ month <dbl> 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7,...
## $ day <int> 27, 27, 27, 27, 28, 28, 28, 28, 29, 29, 29, 29, 30...
## $ hour <dbl> 0, 6, 12, 18, 0, 6, 12, 18, 0, 6, 12, 18, 0, 6, 12...
## $ lat <dbl> 27.5, 28.5, 29.5, 30.5, 31.5, 32.4, 33.3, 34.0, 34...
## $ long <dbl> -79.0, -79.0, -79.0, -79.0, -78.8, -78.7, -78.0, -...
## $ status <chr> "tropical depression", "tropical depression", "tro...
## $ category <ord> -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, ...
## $ wind <int> 25, 25, 25, 25, 25, 25, 25, 30, 35, 40, 45, 50, 50...
## $ pressure <int> 1013, 1013, 1013, 1013, 1012, 1012, 1011, 1006, 10...
## $ ts_diameter <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...
## $ hu_diameter <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...Create a table that identifies the mean wind, pressure, ts_diameter, hu_diameter of each status of storm (remember to remove NAs!). Use the package htmlTable. Round each mean to only two decimal places (Hint: look up the function round)
| status | mean_wind | mean_pressure | mean_ts | mean_hu | |
|---|---|---|---|---|---|
| 1 | hurricane | 87.15 | 966.35 | 288.11 | 72.96 |
| 2 | tropical depression | 28.21 | 1006.47 | 0 | 0 |
| 3 | tropical storm | 45.75 | 999.03 | 159.61 | 0.04 |
Why is it grey? :(
CHALLENGE Find the duration, in number of days, of every hurricane from 2010 and later, and then use one of the map functions from purrr to write a sentence saying “Hurricane X lasted Y days” for each of these storms. You can look for some help with these functions here and here.
## [1] "Hurricane Alex lasted 29 days"
## [2] "Hurricane Arthur lasted 2 days"
## [3] "Hurricane Chris lasted 0 days"
## [4] "Hurricane Cristobal lasted 3 days"
## [5] "Hurricane Danielle lasted 7 days"
## [6] "Hurricane Danny lasted 2 days"
## [7] "Hurricane Edouard lasted 4 days"
## [8] "Hurricane Ernesto lasted 1 days"
## [9] "Hurricane Fay lasted 0 days"
## [10] "Hurricane Fred lasted 30 days"
## [11] "Hurricane Gonzalo lasted 6 days"
## [12] "Hurricane Gordon lasted 2 days"
## [13] "Hurricane Humberto lasted 2 days"
## [14] "Hurricane Igor lasted 9 days"
## [15] "Hurricane Ingrid lasted 2 days"
## [16] "Hurricane Isaac lasted 1 days"
## [17] "Hurricane Joaquin lasted 29 days"
## [18] "Hurricane Julia lasted 3 days"
## [19] "Hurricane Karl lasted 1 days"
## [20] "Hurricane Kate lasted 0 days"
## [21] "Hurricane Katia lasted 9 days"
## [22] "Hurricane Kirk lasted 30 days"
## [23] "Hurricane Leslie lasted 6 days"
## [24] "Hurricane Lisa lasted 1 days"
## [25] "Hurricane Maria lasted 1 days"
## [26] "Hurricane Michael lasted 5 days"
## [27] "Hurricane Nadine lasted 29 days"
## [28] "Hurricane Nate lasted 1 days"
## [29] "Hurricane Ophelia lasted 29 days"
## [30] "Hurricane Otto lasted 1 days"
## [31] "Hurricane Paula lasted 2 days"
## [32] "Hurricane Philippe lasted 4 days"
## [33] "Hurricane Rafael lasted 2 days"
## [34] "Hurricane Richard lasted 1 days"
## [35] "Hurricane Rina lasted 3 days"
## [36] "Hurricane Sandy lasted 5 days"
## [37] "Hurricane Shary lasted 0 days"
## [38] "Hurricane Tomas lasted 26 days"